Moonshot AI Releases 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔 to Replace Fixed Residual Mixing with Depth-Wise Attention for Better Scaling in Transformers
Residual connections are one of many least questioned components of recent Transformer design. In PreNorm architectures, every layer provides its output again right into a operating hidden state, which retains optimization steady and permits deep fashions to prepare. Moonshot AI researchers argue that this commonplace mechanism additionally introduces a structural downside: all prior layer outputs…
